If you didn't create 10-20 different projects, stop asking for "real-world" datasets, because you don't have a dataset problem. You have a procrastination problem.
Laziness is present in data as it is in other things in life:
"Productivity" "Organization" "Focus"
Even if you land 100 interviews, "by accident", you won't get the job. Not without work. Not without showing you can go from problem → thought → solution.
So, stop "faking" it, and do it.
If you still haven't achieved your goal of landing a data job, your only focus should be to create as many projects as you can.
No matter the dataset. No matter the industry.
I'll guarantee that 10-20 projects will change your career.
And you won't need 100 interviews to get a data job.
Mo Chen
"You know what really grinds my gears"?
When people come to me and ask
"Where can I find datasets?"
𝗧𝗵𝗶𝘀 𝗶𝘀 𝗺𝘆 𝗻𝗼-𝗳𝗹𝘂𝗳𝗳 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵. 𝗜 𝗺𝗶𝗴𝗵𝘁 𝗴𝗲𝘁 𝘀𝗼𝗺𝗲 "𝗱𝗶𝘀𝗹𝗶𝗸𝗲𝘀".
But I'm here to help people transition to Data.
So, here's my take:
If you didn't create 10-20 different projects, stop asking for "real-world" datasets, because you don't have a dataset problem. You have a procrastination problem.
Laziness is present in data as it is in other things in life:
"Productivity"
"Organization"
"Focus"
Even if you land 100 interviews, "by accident", you won't get the job.
Not without work.
Not without showing you can go from problem → thought → solution.
So, stop "faking" it, and do it.
If you still haven't achieved your goal of landing a data job, your only focus should be to create as many projects as you can.
No matter the dataset.
No matter the industry.
I'll guarantee that 10-20 projects will change your career.
And you won't need 100 interviews to get a data job.
Agree?
1 week ago | [YT] | 121